Article ID Journal Published Year Pages File Type
6948052 Information and Software Technology 2018 12 Pages PDF
Abstract
In particular, the results allow for the following conclusions: (i) factors such as number of commits and files in the pull request may influence the reviewers assignment; (ii) factors regarding the requester profile may influence on reviewer allocation; (iii) the social relationship between requester and reviewer exert influence on pull request evaluation, that is, when the reviewer knows the requester, his or her chances of evaluating such contributions may increase; and (iv) factors such as ownership and locality of pull request artifacts are important predictors for the reviewer. Furthermore, we point out that, besides identifying influence factors related to pull request reviewer, the adopted approach allowed us to quantify the extent of that influence via support, confidence, and lift metrics.
Related Topics
Physical Sciences and Engineering Computer Science Human-Computer Interaction
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